A/B Testing

Involves comparing two versions (A and B) of a design to determine which performs better. A/B testing is crucial during the optimization phase of a design project, allowing designers to make data-driven decisions based on user preferences and behaviors. It is particularly valuable when seeking to enhance specific elements, such as call-to-action buttons or layout variations, to improve overall user engagement and satisfaction.

What is A/B Testing

Comparing two versions (A and B) of a design or feature to determine which performs better based on predefined success criteria. A/B testing is commonly used to optimize user experiences, improve conversion rates, and make data-driven decisions by analyzing user interactions and preferences.